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STUDY OF THE 3D GEOMETRIC STRUCTURE AND TEMPERATURE OF A CORONAL CAVITY USING THE LIMB SYNOPTIC MAP METHOD View all abstracts by submitter

Nishu Karna   Submitted: 2015-09-14 11:08

We present the three-dimensional geometric structure and thermal properties of a coronal cavity deduced from limb synoptic maps. The observations are extreme ultraviolet images from the Atmospheric Imager Assembly (AIA) and magnetic images from the Helioseismic Magnetic Imager instruments on board the Solar Dynamics Observatory. We describe a limb synoptic-map method used to effectively identify and measure cavities from annuli of radiance above the solar limb. We find that cavities are best seen in the 211, 193, and 171 Å passbands. The prominence associated with each cavity is best seen in the 304 Å synoptic maps. We also estimate the thermal properties of the cavity and surrounding plasma by combining the AIA radiances with a differential emission measure analysis. This paper focuses on one long cavity from a catalog of coronal cavities that we are developing. Cavities in this catalog are designated by a coded name using the Carrington Rotation number and position. Cavity C211347177N was observed during Carrington Rotation 2113 at the northwestern limb of the solar disk with an average latitude of 47? N and a central longitude of 177?. We showed the following. (1) The cavity is a long tube with an elliptical cross-section with ratios of the length to width and the length to height of 11:1 and 7:1, respectively. (2) The cavity is about 1360 Mm long, or 170? in longitude. (3) It is tilted in latitude. (4) And it is slightly hotter than its surroundings.

Authors: N. Karna, J. Zhang, W. Dean Pesnell, and S. A. Hess Webber
Projects: SDO-AIA,SDO-HMI

Publication Status: Published (Sep 8, 2015)
Last Modified: 2015-09-14 16:09
Go to main E-Print page  APPEARANCES AND STATISTICS OF CORONAL CAVITIES DURING THE ASCENDING PHASE OF SOLAR CYCLE 24  Application of Kernel Based Machine Learning to Inversion Problem of Photospheric Magnetic Fields  Edit Entry  Download Preprint  Delete Entry 

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